A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior
type: Item
instance of: scholarly article
title: A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior
zbMATH Open document ID: 1237.93164
DOI: 10.1080/03610926.2010.533230
author: Haisong Deng
author: Yizhong Ma
author: Wenze Shao
author: Yiliu Tu
publication date: 2012-05-18T00:00:00Z
Mathematics Subject Classification ID: 93E03
Mathematics Subject Classification ID: 93E24
zbMATH DE Number: 6036674
zbMATH Keywords: computer experiments
zbMATH Keywords: expectation maximization
zbMATH Keywords: Kriging
zbMATH Keywords: meta-modeling
zbMATH Keywords: penalized likelihood
zbMATH Keywords: simulation
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1080/03610926.2010.533230
OpenAlex ID: W2042139369
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published in: Communications in Statistics. Theory and Methods
description: scientific article; zbMATH DE number 6036674